Danying Yang

531 citations
9 papers · 356 · h-index 8

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 2
    • Mitochondrial Function and Pathology 2
    • Signaling Pathways in Disease 1
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Neurological diseases and metabolism 1

Danying Yang

9 papers receiving 354 citations

Peers

Danying Yang
Comparison fields: 5 of 76
  • Developmental Neuroscience 66
  • Critical Care and Intensive Care Medicine 49
  • Neurology 68
  • Biological Psychiatry 19
  • Geriatrics and Gerontology 14
Replace Juan Zhao with:
Juan Zhao China
Tyrell Simkins United States
Yutong Song China
Sylvie Burnouf France
Wanlong Lei China
Bolati Kuerban Japan
Emmanuel Villanueva United States
Jana Turečková Czechia
Martina Marangoni Italy
Mónica S. Chianelli Argentina
Danying Yang relative to Juan Zhao China Juan Zhao's profile →
Citations per field
00.5×1.5×
Juan Zhao · 1×
Citations per year

Countries citing papers authored by Danying Yang

Since Specialization
Citations

This map shows the geographic impact of Danying Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danying Yang more than expected).

Fields of papers citing papers by Danying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danying Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danying Yang. The network helps show where Danying Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Danying Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danying Yang Line = papers co-authored together Danying Yang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202290
2 202171
3 202138
4 202137
5 202237
6 202135
7 202223
8 202118
9 20237

About Danying Yang

Danying Yang is a scholar working on Molecular Biology, Neurology, Developmental Neuroscience, Epidemiology and Physiology, having authored 9 papers that have together received 356 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Mitochondrial Function and Pathology (2 papers), Autophagy in Disease and Therapy (2 papers), Metabolism and Genetic Disorders (1 paper), Neurological diseases and metabolism (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Developmental Neuroscience (66 citations), Critical Care and Intensive Care Medicine (49 citations), Neurology (68 citations), Biological Psychiatry (19 citations) and Geriatrics and Gerontology (14 citations). Danying Yang has collaborated with scholars based in China and United States. Frequent co-authors include Fuzhou Hua, Jun Ying, Wen Yu, Fang Yang, Qingcui Zheng, Lieliang Zhang, Xing Liu, Xifeng Wang, Tiancheng Zhao and Shoulin Chen. Their work appears in journals such as Frontiers in Aging Neuroscience, Frontiers in Neuroscience, Journal of Translational Medicine, Cardiovascular Toxicology and Frontiers in Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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